This repository holds code for the Process Mining using R and contains everything you need to get you started.
Note: Only public or fake data are shared in this repository.
- The main code and test data is found in the root of the repository (see Usage below for more information)
R Studio
To get a local copy up and running follow these simple steps:
- Clone repo
- Set up project in R linked to your cloned Git repository
- Change file path in R script to local file path (using artificial data within this repo)
To clone the repo:
git clone https://github.com/RubyNixx/Process_Mining_R_Healthcare
To create a suitable environment:
- R Studio
- Libraries are contained with the R script
The R code provides examples, using 1 dataset, of the different types of visualisations for process mining you can create using the bupaverse package.
Charts are outputted to screen when you run the code.
Fake data is used within project, which has been manually transformed to meet NHS Data Dictionary fields. (Based on this dataset: https://gitlab.com/healthcare2/process-mining-tutorial/-/blob/master/ArtificialPatientTreatment.csv?ref_type=heads)
The script loads this from the test data excel file and then generates a event log, so the only change you should need to make to get this to run on your own instance is to re-direct the readexcel file path to your own.
There are 100 test pathways, of which some look like rework, to make it easier as a beginner select a smaller set of pathways to understand the range of visualisation.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
See CONTRIBUTING.md for detailed guidance.
Unless stated otherwise, the codebase is released under the MIT Licence. This covers both the codebase and any sample code in the documentation.
See LICENSE for more information.
The documentation is © Crown copyright and available under the terms of the Open Government 3.0 licence.
Technical contact: ruby.nicholls@nhs.net
Thanks to Mike Perham for all your support and guidance. Thanks to BNSSG for sharing: https://github.com/nhs-bnssg-analytics/process-mining-clinical-pathways/tree/main